At the very bottom of the page, you should see the "raw" list of files and directories. Sometimes I upload things and forget to create "links" for them in this README file. If I forget, you can still find what you need at the bottom.
As a joke, I used to call this "StatsRus", but I stopped because it seemed presumptuous to make "me" part of "us". But I still think it was a funny title.
These are things you can actually run and get smart from. The one on barplots is so incredibly awesome, you won't believe it when you see it. As my skills in R programming have improved, I notice these WorkingExamples are becoming a little more elaborate. And you will notice that, when I'm troubled about something, the examples prolifate. Look at plot-plotmath-* for example.
The rockchalk package builds on the little bits of knowledge in Rtips, and it offers some more complete regression-oriented functions to process fitted models into output for papers. Distributed with rockchalk, there is an examples folder, and there are some examples there that might help you understand R programming. In the rockchalk package's install folder, look for files "nowords-*.R" for some R programming insights.
The vignettes from rockchalk are
Most of these are LaTeX, many are Sweaved to combine R with the document. I'm uploading everything here, the source code, anything necessary to reproduce the pdf lectures. I'm offering this as a free service, free for reuse to anybody as long as they acknowledge where they took the material.
During the Stats Camp at University of Kansas, a "camper" asked me for help in learning how to use Sweave. I've uploaded some notes, SweaveTutorial, which shows the bare minimum steps needed to use Sweave and then some details I add. Please read firstTry.pdf in there, the Rnw and tex files are in same folder. Once you learn the ins-and-outs, then read secondTry.pdf.
I have a "LaTeX Get Started" document in the guides directory (read below). http://pj.freefaculty.org/guides/Computing-HOWTO/LatexAndLyx
I found myself walking through the same installs over and over with Windows users. So I made these screencasts to give people a head start. I don't hold these out as great production quality, but they do reflect a nearly week-long battle with a Windows 8 virtual machine, CamStudio, the hosts audio/video system. Its very tricky to keep the video and audio synced.
On a Windows 8 system, this demonstrates the R installation, basic usage, as well as the importation of an Excel spreadsheet using the gdata package's read.xls function, with the support of ActivePerl. Part 2 in this series discusses better editors for code preparation: http://youtu.be/lNlJFEpdytc
Installing and using programmer's file editors to interact with an R session. Demonstrates the installation, configuration, and usage to offer the viewer a clear view of what these editors offer. This is important because the editor provided with R for Windows does not offer conveniences for coders. This is the second presentation in a series, please view the first one, StartR 01, which is about installing R, ActivePerl, and R packages. http://youtu.be/pmK9bWG1ftk